Journal of Machine Learning Research （JMLR） - Issue 6 论文列表
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| 卷期号： Issue 6 |
| 发布时间： |
| 卷期年份： 2003 |
| 卷期官网： |
本期论文列表
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling.
An Introduction to Variable and Feature Selection.
Sufficient Dimensionality Reduction.
Variable Selection Using SVM-based Criteria.
Feature Extraction by Non-Parametric Mutual Information Maximization.
A Family of Additive Online Algorithms for Category Ranking.
An Extensive Empirical Study of Feature Selection Metrics for Text Classification.
Use of the Zero-Norm with Linear Models and Kernel Methods.
Ranking a Random Feature for Variable and Feature Selection.
Benefitting from the Variables that Variable Selection Discards.
Latent Dirichlet Allocation.
Kernel Methods for Relation Extraction.
Extensions to Metric-Based Model Selection.
Matching Words and Pictures.
Overfitting in Making Comparisons Between Variable Selection Methods.
Distributional Word Clusters vs. Words for Text Categorization.
Dimensionality Reduction via Sparse Support Vector Machines.
A Neural Probabilistic Language Model.
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space.
Ultraconservative Online Algorithms for Multiclass Problems.
Word-Sequence Kernels.
A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification.